Student courses recommendation using ant colony optimization

Janusz Sobecki*, Jakub M. Tomczak

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In the paper we present recommendation of student courses using Ant Colony Optimization (ACO). ACO is proved to be effective in solving many optimization problems, here we show that ACO also in the problem of prediction of final grades students receives on completing university courses is able to deliver good solutions. To apply ACO in any recommender system we need special problem representation in form of a graph, where each node represents a decision in the problem domain.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings
Pages124-133
Number of pages10
EditionPART 2
DOIs
Publication statusPublished - 17 Sep 2010
Externally publishedYes
Event2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010 - Hue City, Viet Nam
Duration: 24 Mar 201026 Mar 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5991 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2010 Asian Conference on Intelligent Information and Database Systems, ACIIDS 2010
CountryViet Nam
CityHue City
Period24/03/1026/03/10

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  • Cite this

    Sobecki, J., & Tomczak, J. M. (2010). Student courses recommendation using ant colony optimization. In Intelligent Information and Database Systems - Second International Conference, ACIIDS, Proceedings (PART 2 ed., pp. 124-133). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5991 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-12101-2_14